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Python Machine Learning Entry Level Jobs in Illinois

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

Design and deploy machine learning models to enhance trading performance across various asset ... Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

IMC Inc

Hardware Machine Learning Engineer

Chicago, IL

$200K - $225K/yr

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Python Exposure to with workflow automation platforms (Apache Airflow, Autosys, similar) Basic ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$200K - $225K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

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Python Machine Learning Entry Level information

What is the difference between Python Machine Learning Entry Level vs Data Analyst Entry Level?

AspectPython Machine Learning Entry LevelData Analyst Entry Level
Required SkillsPython, machine learning libraries, basic statisticsExcel, SQL, data visualization tools
CertificationsPython programming, machine learning coursesData analysis certifications, Excel/SQL courses
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Job FocusDeveloping ML models, data preprocessingData cleaning, reporting, insights generation

While both roles involve working with data, Python Machine Learning Entry Level focuses on building machine learning models using Python, whereas Data Analyst Entry Level emphasizes data cleaning, analysis, and reporting using tools like Excel and SQL. Both roles require analytical skills, but Python ML roles demand programming and machine learning knowledge, making them more technical.

What types of projects can I expect to work on as an entry-level Python Machine Learning professional?

As an entry-level Python Machine Learning professional, you will typically work on projects such as data preprocessing, implementing and tuning basic machine learning models, and assisting with feature engineering. You may also be involved in data collection, cleaning, and visualization tasks to support more senior team members. Collaboration is common; you’ll often work closely with data scientists, engineers, and sometimes product managers to deliver actionable insights or build prototype models. This hands-on experience is valuable for building your technical foundation and understanding real-world machine learning workflows.

What are Python Machine Learning Entry Level jobs?

Python Machine Learning Entry Level jobs are positions designed for individuals who are new to the field of machine learning and have foundational programming skills in Python. These roles typically involve tasks such as data preprocessing, implementing basic machine learning algorithms, and assisting with model evaluation and deployment. Entry-level positions often require a basic understanding of statistics, data analysis, and libraries like scikit-learn, pandas, and NumPy. They provide an opportunity to gain hands-on experience while working under the guidance of more experienced data scientists or machine learning engineers.

What are the key skills and qualifications needed to thrive as an Entry Level Python Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Python Machine Learning Engineer, you need a solid understanding of Python programming, foundational machine learning concepts, and a relevant degree in computer science, statistics, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and Jupyter Notebooks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with technical teams. These skills are crucial for efficiently developing, implementing, and explaining machine learning solutions that meet organizational goals.
What are the most commonly searched types of Python Machine Learning jobs in Illinois? The most popular types of Python Machine Learning jobs in Illinois are:
What are popular job titles related to Python Machine Learning Entry Level jobs in Illinois? For Python Machine Learning Entry Level jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Python Machine Learning Entry Level jobs in Illinois look for? The top searched job categories for Python Machine Learning Entry Level jobs in Illinois are:
Python Machine Learning Entry Level jobs near you
Applied Machine Learning Engineer

Applied Machine Learning Engineer

Strata Decision Technology

Chicago, IL • On-site, Remote

$117K - $150K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 28 days ago

Job description

How You'll Make an Impact
As an Applied Machine Learning Engineer, you will collaborate with architects, data scientists, agentic AI developers, platform engineers, and the product team to build advanced AI and ML capabilities into our platform. Your work will drive innovation in generative AI and beyond, integrating and customizing a wide range of machine learning techniques to solve complex problems in healthcare. By developing next-generation AI agents, algorithms, and computation engines, you will help Strata strengthen its market leadership, improve operational efficiency, and support healthcare providers in delivering high-quality care while maintaining financial health.
A Day in the Life
  • Read and translate the latest research (e.g., arXiv papers) into production-ready solutions in Python.
  • Prototype and iterate on machine learning models, focusing on areas such as regression, causal inference, optimization, and vector embeddings.
  • Collaborate with cross-functional teams to embed ML and AI capabilities directly into our software platform.
  • Partner with data scientists to design experiments and apply statistical concepts to real-world data.
  • Optimize, test, and scale ML models to support mission-critical healthcare analytics.

Our Technology Stack
Our core platform is used by more than half of the nation's leading healthcare providers, enabling them to leverage financial, operational, and clinical data. Our AI and ML stack includes:
  • Languages & Libraries: Python, PyTorch, NumPy, Pandas, Polars, PyMC
  • Infrastructure: AWS, Snowflake, Docker, GitHub
  • Techniques & Tools:
    • Regression (with and without Bayesian priors)
    • Vector embeddings, similarity, clustering
    • Core statistics and distributions for EDA
    • Optimization methods (multi-armed bandit, mixed integer programming)
    • Causal inference and probabilistic modeling

What We're Looking For
We're seeking a technically curious engineer who thrives on turning theory into practice. The ideal candidate has:
  • Strong experience implementing ML models in Python.
  • Familiarity with regression, embeddings, causal inference, and optimization techniques.
  • Experience applying statistical methods to exploratory data analysis.
  • Comfort working with modern ML libraries and frameworks.

Bonus points if you have worked with:
  • NLP tasks (LLMs, spaCy, neural networks).
  • Recommender systems, latent factors, matrix factorization.
  • Graph algorithms.
  • Claude Code, Docker, and GitHub.ess computation engine.

Estimated Salary Range: $117,000-150,000Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.
Find out more about Strata benefits here.
How we work:Our preferred location for open roles is Chicago, IL. We value in-person connection and regularly host on-campus events to create meaningful opportunities for our team to build relationships and collaborate
Thinking about applying?
Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you're currently reading this and hesitating to click "Apply" for that reason, we encourage you to go for it! A true passion and excitement for making an impact is just as important as work experience.
Should you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please reach out to careers@stratadecision.com.
Here @ Strata...
Our culture is driven by our people solving problems together. We embrace learning, collaboration, and continuous career growth. Together, we lift our customers, our products, our company, and our community.
We believe that each of our team member's unique perspectives and experiences is what drives innovation and positive change. Our individual differences are what make us a more forward-thinking organization. We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin.
Our Core Values:While we celebrate what makes each member of our team unique, our core values are what connect us. They set clear expectations for how we approach our work and how each of us can positively influence the experience of our team and our customers.
  • We connect with positive intent.
  • We are helpful.
  • We own it.
  • We get better every day.
  • We are humble.

Apply